Parameter estimation of tuberculosis transmission model using Ensemble Kalman filter across Indian states and union territories

被引：12
作者：
Narula, Pankaj [1 ]
Piratla, Vihari [2 ]
Bansal, Ankit [3 ]
Azad, Sarita [1 ]
Lio, Pietro [4 ]
机构：
[1] Indian Inst Technol Mandi, Sch Basic Bas Sci, Mandi 175001, Himachal Prades, India
[2] Indian Inst Technol Mandi, Sch Comp & Elect Engn, Mandi 175001, Himachal Prades, India
[3] Indian Inst Technol Roorkee, Dept Mech & Ind Engn, Roorkee 247667, Uttarakhand, India
[4] Univ Cambridge, Comp Lab, William Gates Bldg,15 JJ Thomson Ave, Cambridge CB3 0FD, England
来源：
INFECTION DISEASE & HEALTH | 2016年 / 21卷 / 04期
关键词：
Tuberculosis; India; Infection;
D O I：
10.1016/j.idh.2016.11.001
中图分类号：
R1 [预防医学、卫生学];
学科分类号：
1004 ; 120402 ;
摘要：
Background: Tuberculosis (TB) is one of the main causes of mortality on the globe. Besides the full implementation of Revised National Tuberculosis Control Programme (RNTCP), TB continues to be a major public health problem in India. Methods: In the present study, parameters of a TB model are estimated using Ensemble Kalman filter (EnKf) approach. Infection rate and fraction of smear positive cases of TB are estimated in context of India. Results and Conclusions: Results reveal that the infection rate is highest in Manipur and the ratio of smear positive cases is highest in Pondicherry. The infection rate of TB in Manipur is found to be 2.57 per quarter for the period 2006-2011. (C) 2016 Australasian College for Infection Prevention and Control. Published by Elsevier B.V. All rights reserved.
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收藏
页码：184 / 191
页数：8
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